Sai Ming Ngai

113 total papers · 3.9k total citations
87 papers, 2.9k citations indexed

About

Sai Ming Ngai is a scholar working on Molecular Biology, Plant Science and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Sai Ming Ngai has authored 87 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 12 papers in Plant Science and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Sai Ming Ngai's work include Cardiomyopathy and Myosin Studies (7 papers), RNA and protein synthesis mechanisms (5 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Sai Ming Ngai is often cited by papers focused on Cardiomyopathy and Myosin Studies (7 papers), RNA and protein synthesis mechanisms (5 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Sai Ming Ngai collaborates with scholars based in Hong Kong, China and Macao. Sai Ming Ngai's co-authors include Sau‐Na Tsai, Yiu Wa Kwan, Jianlin Shao, Dong Xu, Kwok‐Pui Fung, Stephen Kwok‐Wing Tsui, Mary Miu Yee Waye, Joseph J.�Y. Sung, Robert S. Hodges and Ting‐Fung Chan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Sai Ming Ngai

87 papers receiving 2.9k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sai Ming Ngai 1.8k 343 335 298 221 87 2.9k
Dong Li 2.0k 1.1× 286 0.8× 247 0.7× 243 0.8× 87 0.4× 121 3.2k
Stefano Toppo 2.5k 1.4× 523 1.5× 381 1.1× 157 0.5× 175 0.8× 100 4.4k
Antonio Martínez‐Ruiz 2.2k 1.2× 452 1.3× 303 0.9× 171 0.6× 190 0.9× 81 3.7k
Min Li 1.3k 0.7× 212 0.6× 190 0.6× 348 1.2× 128 0.6× 132 2.7k
Meera Srivastava 2.3k 1.3× 554 1.6× 166 0.5× 304 1.0× 137 0.6× 127 3.4k
Reginald O. Morgan 1.9k 1.1× 356 1.0× 214 0.6× 178 0.6× 120 0.5× 85 2.8k
Han Sun 1.3k 0.7× 321 0.9× 140 0.4× 384 1.3× 125 0.6× 105 2.0k
Yan Li 2.2k 1.2× 366 1.1× 138 0.4× 543 1.8× 126 0.6× 104 3.3k
José Remacle 1.2k 0.7× 257 0.7× 302 0.9× 246 0.8× 66 0.3× 69 2.9k
Walter L. Hughes 1.4k 0.8× 425 1.2× 234 0.7× 336 1.1× 60 0.3× 53 3.4k

Countries citing papers authored by Sai Ming Ngai

Since Specialization
Citations

This map shows the geographic impact of Sai Ming Ngai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sai Ming Ngai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sai Ming Ngai more than expected).

Fields of papers citing papers by Sai Ming Ngai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sai Ming Ngai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sai Ming Ngai. The network helps show where Sai Ming Ngai may publish in the future.

Co-authorship network of co-authors of Sai Ming Ngai

This figure shows the co-authorship network connecting the top 25 collaborators of Sai Ming Ngai. A scholar is included among the top collaborators of Sai Ming Ngai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sai Ming Ngai. Sai Ming Ngai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026